A Tree Based Data Mining Prediction Scheme for Wireless Cellular Network

A centralized collaborative system between nodes and Base Stations (BSs) is developed, and a new prediction mobility scheme with Data Mining techniques is proposed so that the service of the handoff calls can be guaranteed. This new approach belongs to the Direct Group Mobility (DGM) prediction scheme and is based on the Tree Path Construction Algorithm (TPCON) and the Merge Tree Algorithm (MTA). Two Call Admission Control (CAC) algorithms are developed for each BS according to the predictive or adaptive policy for the reservation operation in order to minimize the call dropping probability. This study deals with the system behavior only at exceptional congestion time periods (periodical events).